Overview

Dataset statistics

Number of variables20
Number of observations385500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.8 MiB
Average record size in memory160.0 B

Variable types

Numeric20

Alerts

area[10] is highly overall correlated with area[1] and 4 other fieldsHigh correlation
area[11] is highly overall correlated with area[13] and 5 other fieldsHigh correlation
area[13] is highly overall correlated with area[11] and 4 other fieldsHigh correlation
area[14] is highly overall correlated with area[11] and 6 other fieldsHigh correlation
area[1] is highly overall correlated with area[10] and 5 other fieldsHigh correlation
area[2] is highly overall correlated with area[3]High correlation
area[3] is highly overall correlated with area[10] and 5 other fieldsHigh correlation
area[4] is highly overall correlated with area[11] and 4 other fieldsHigh correlation
area[5] is highly overall correlated with area[11] and 5 other fieldsHigh correlation
area[6] is highly overall correlated with area[11] and 5 other fieldsHigh correlation
area[8] is highly overall correlated with area[10] and 6 other fieldsHigh correlation
area[9] is highly overall correlated with area[10] and 3 other fieldsHigh correlation
x is highly overall correlated with area[13] and 6 other fieldsHigh correlation
y is highly overall correlated with area[10] and 4 other fieldsHigh correlation

Reproduction

Analysis started2024-01-12 12:42:47.014131
Analysis finished2024-01-12 12:44:47.884579
Duration2 minutes and 0.87 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

area[0]
Real number (ℝ)

Distinct381355
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3304952
Minimum-0.58257324
Maximum149.58904
Zeros0
Zeros (%)0.0%
Negative116
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:48.044543image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-0.58257324
5-th percentile1.511931
Q12.38383
median3.3610709
Q35.1043681
95-th percentile10.178866
Maximum149.58904
Range150.17162
Interquartile range (IQR)2.7205382

Descriptive statistics

Standard deviation3.4894138
Coefficient of variation (CV)0.8057771
Kurtosis66.016248
Mean4.3304952
Median Absolute Deviation (MAD)1.1903809
Skewness5.0917397
Sum1669405.9
Variance12.176009
MonotonicityNot monotonic
2024-01-12T13:44:48.186575image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.203933105 3
 
< 0.1%
2.540681152 3
 
< 0.1%
2.786303711 3
 
< 0.1%
4.306799316 3
 
< 0.1%
1.701156616 3
 
< 0.1%
2.79699707 3
 
< 0.1%
2.082727051 3
 
< 0.1%
2.388041992 3
 
< 0.1%
3.095314941 3
 
< 0.1%
2.290408936 3
 
< 0.1%
Other values (381345) 385470
> 99.9%
ValueCountFrequency (%)
-0.5825732422 1
< 0.1%
-0.5293475342 1
< 0.1%
-0.5164990234 1
< 0.1%
-0.4973010254 1
< 0.1%
-0.480645752 1
< 0.1%
-0.433972168 1
< 0.1%
-0.4319250488 1
< 0.1%
-0.4180651855 1
< 0.1%
-0.4001098633 1
< 0.1%
-0.385446167 1
< 0.1%
ValueCountFrequency (%)
149.589043 1
< 0.1%
136.6665521 1
< 0.1%
133.0695551 1
< 0.1%
109.3110571 1
< 0.1%
100.2460333 1
< 0.1%
95.1848999 1
< 0.1%
94.04024963 1
< 0.1%
92.60354736 1
< 0.1%
87.8808197 1
< 0.1%
85.50464355 1
< 0.1%

area[1]
Real number (ℝ)

HIGH CORRELATION 

Distinct384411
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.504198
Minimum-0.99730103
Maximum152.5177
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:48.350546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-0.99730103
5-th percentile2.2930189
Q14.7558765
median7.8865518
Q312.945553
95-th percentile29.272564
Maximum152.5177
Range153.515
Interquartile range (IQR)8.1896768

Descriptive statistics

Standard deviation8.4441053
Coefficient of variation (CV)0.80387912
Kurtosis3.7551504
Mean10.504198
Median Absolute Deviation (MAD)3.6987946
Skewness1.758514
Sum4049368.2
Variance71.302914
MonotonicityNot monotonic
2024-01-12T13:44:48.677575image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.760314941 3
 
< 0.1%
7.796130371 3
 
< 0.1%
8.701928711 3
 
< 0.1%
7.823051147 2
 
< 0.1%
3.728522339 2
 
< 0.1%
4.612001953 2
 
< 0.1%
9.907689209 2
 
< 0.1%
13.49553223 2
 
< 0.1%
2.576600342 2
 
< 0.1%
11.59768799 2
 
< 0.1%
Other values (384401) 385477
> 99.9%
ValueCountFrequency (%)
-0.9973010254 1
< 0.1%
-0.5701617432 1
< 0.1%
-0.566237793 1
< 0.1%
-0.5136602783 1
< 0.1%
-0.4972058105 1
< 0.1%
-0.3942199707 1
< 0.1%
-0.3917431641 1
< 0.1%
-0.3896899414 1
< 0.1%
-0.3690429687 1
< 0.1%
-0.3589758301 1
< 0.1%
ValueCountFrequency (%)
152.5176996 1
< 0.1%
145.6036987 1
< 0.1%
122.160965 1
< 0.1%
121.4542615 1
< 0.1%
117.0120544 1
< 0.1%
107.976897 1
< 0.1%
101.1730835 1
< 0.1%
96.30658569 1
< 0.1%
86.8817926 1
< 0.1%
86.23358765 1
< 0.1%

area[2]
Real number (ℝ)

HIGH CORRELATION 

Distinct383324
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2880254
Minimum-1.7354297
Maximum136.87216
Zeros0
Zeros (%)0.0%
Negative95
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:48.835551image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-1.7354297
5-th percentile1.7997066
Q13.1164604
median4.9441736
Q37.8885341
95-th percentile15.357612
Maximum136.87216
Range138.60759
Interquartile range (IQR)4.7720737

Descriptive statistics

Standard deviation4.7581129
Coefficient of variation (CV)0.75669428
Kurtosis13.275473
Mean6.2880254
Median Absolute Deviation (MAD)2.1490341
Skewness2.5161136
Sum2424033.8
Variance22.639638
MonotonicityNot monotonic
2024-01-12T13:44:48.982559image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.357543945 4
 
< 0.1%
3.262741699 3
 
< 0.1%
3.363134766 3
 
< 0.1%
2.520401611 3
 
< 0.1%
3.142952881 3
 
< 0.1%
4.193493652 3
 
< 0.1%
2.669830322 3
 
< 0.1%
2.48253418 3
 
< 0.1%
4.707202148 3
 
< 0.1%
4.724487305 3
 
< 0.1%
Other values (383314) 385469
> 99.9%
ValueCountFrequency (%)
-1.735429687 1
< 0.1%
-1.166360474 1
< 0.1%
-1.026279297 1
< 0.1%
-0.8099230957 1
< 0.1%
-0.7416693115 1
< 0.1%
-0.7018518066 1
< 0.1%
-0.6931616211 1
< 0.1%
-0.682600708 1
< 0.1%
-0.5695043945 1
< 0.1%
-0.5102636719 1
< 0.1%
ValueCountFrequency (%)
136.8721558 1
< 0.1%
113.5135553 1
< 0.1%
108.3531738 1
< 0.1%
92.22590332 1
< 0.1%
87.85783997 1
< 0.1%
84.62052368 1
< 0.1%
82.46864441 1
< 0.1%
81.78101807 1
< 0.1%
80.82236328 1
< 0.1%
78.86475586 1
< 0.1%

area[3]
Real number (ℝ)

HIGH CORRELATION 

Distinct384634
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.282057
Minimum-0.46547241
Maximum217.15825
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:49.151576image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-0.46547241
5-th percentile3.6415597
Q16.9004971
median10.510014
Q320.451969
95-th percentile42.20369
Maximum217.15825
Range217.62372
Interquartile range (IQR)13.551472

Descriptive statistics

Standard deviation12.07951
Coefficient of variation (CV)0.79043743
Kurtosis1.4187524
Mean15.282057
Median Absolute Deviation (MAD)4.6655106
Skewness1.401735
Sum5891233
Variance145.91456
MonotonicityNot monotonic
2024-01-12T13:44:49.286546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.282794189 3
 
< 0.1%
4.262756348 3
 
< 0.1%
7.547821045 3
 
< 0.1%
19.79847168 2
 
< 0.1%
12.49109802 2
 
< 0.1%
23.36810059 2
 
< 0.1%
13.25037842 2
 
< 0.1%
10.06262207 2
 
< 0.1%
7.925891113 2
 
< 0.1%
6.3965271 2
 
< 0.1%
Other values (384624) 385477
> 99.9%
ValueCountFrequency (%)
-0.4654724121 1
< 0.1%
-0.3459466553 1
< 0.1%
-0.2434613037 1
< 0.1%
-0.09316650391 1
< 0.1%
-0.07318664551 1
< 0.1%
-0.06622741699 1
< 0.1%
-0.05329650879 1
< 0.1%
-0.02211914062 1
< 0.1%
-0.01951965332 1
< 0.1%
-0.007261352539 1
< 0.1%
ValueCountFrequency (%)
217.1582458 1
< 0.1%
153.298963 1
< 0.1%
121.8822687 1
< 0.1%
121.5279907 1
< 0.1%
109.2606598 1
< 0.1%
107.3340906 1
< 0.1%
103.3280176 1
< 0.1%
94.03706787 1
< 0.1%
93.56478638 1
< 0.1%
91.46968689 1
< 0.1%

area[4]
Real number (ℝ)

HIGH CORRELATION 

Distinct384188
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5213254
Minimum-0.49863586
Maximum104.96812
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:49.430550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-0.49863586
5-th percentile2.3216744
Q14.7031204
median7.5806259
Q312.014731
95-th percentile24.837384
Maximum104.96812
Range105.46676
Interquartile range (IQR)7.3116107

Descriptive statistics

Standard deviation6.9237611
Coefficient of variation (CV)0.72718459
Kurtosis3.2835869
Mean9.5213254
Median Absolute Deviation (MAD)3.3457297
Skewness1.6340496
Sum3670471
Variance47.938468
MonotonicityNot monotonic
2024-01-12T13:44:49.587546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.865856934 3
 
< 0.1%
6.140594482 3
 
< 0.1%
13.62075195 3
 
< 0.1%
6.967285156 3
 
< 0.1%
2.972354736 3
 
< 0.1%
5.716989136 2
 
< 0.1%
5.650036621 2
 
< 0.1%
6.837038574 2
 
< 0.1%
5.567172241 2
 
< 0.1%
7.193720703 2
 
< 0.1%
Other values (384178) 385475
> 99.9%
ValueCountFrequency (%)
-0.4986358643 1
< 0.1%
-0.3931811523 1
< 0.1%
-0.3698272705 1
< 0.1%
-0.3513922119 1
< 0.1%
-0.3258288574 1
< 0.1%
-0.3119622803 1
< 0.1%
-0.2386529541 1
< 0.1%
-0.2331945801 1
< 0.1%
-0.2261914063 1
< 0.1%
-0.1992340088 1
< 0.1%
ValueCountFrequency (%)
104.968125 1
< 0.1%
95.66599304 1
< 0.1%
94.38547546 1
< 0.1%
93.46904297 1
< 0.1%
88.70911987 1
< 0.1%
85.09000854 1
< 0.1%
84.97251465 1
< 0.1%
83.10847473 1
< 0.1%
81.24226074 1
< 0.1%
78.20518127 1
< 0.1%

area[5]
Real number (ℝ)

HIGH CORRELATION 

Distinct384887
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.714331
Minimum-0.28694275
Maximum137.89748
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:49.746545image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-0.28694275
5-th percentile6.7125835
Q110.925126
median17.630692
Q330.914978
95-th percentile46.903253
Maximum137.89748
Range138.18442
Interquartile range (IQR)19.989852

Descriptive statistics

Standard deviation13.035837
Coefficient of variation (CV)0.60033338
Kurtosis-0.30928607
Mean21.714331
Median Absolute Deviation (MAD)8.3947174
Skewness0.77546684
Sum8370874.4
Variance169.93306
MonotonicityNot monotonic
2024-01-12T13:44:49.889549image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.69107666 3
 
< 0.1%
9.017041016 3
 
< 0.1%
8.571398926 2
 
< 0.1%
11.84531006 2
 
< 0.1%
19.60683594 2
 
< 0.1%
12.58525391 2
 
< 0.1%
10.11114502 2
 
< 0.1%
8.389014893 2
 
< 0.1%
13.44497803 2
 
< 0.1%
30.48134155 2
 
< 0.1%
Other values (384877) 385478
> 99.9%
ValueCountFrequency (%)
-0.286942749 1
< 0.1%
-0.2517144775 1
< 0.1%
0.1102587891 1
< 0.1%
0.6065087891 1
< 0.1%
0.7407745361 1
< 0.1%
0.8548950195 1
< 0.1%
0.8578369141 1
< 0.1%
0.956418457 1
< 0.1%
1.015155029 1
< 0.1%
1.080264282 1
< 0.1%
ValueCountFrequency (%)
137.8974792 1
< 0.1%
128.4922791 1
< 0.1%
125.3773535 1
< 0.1%
113.5456696 1
< 0.1%
97.21516235 1
< 0.1%
95.00197266 1
< 0.1%
93.73051025 1
< 0.1%
92.62693359 1
< 0.1%
91.79156738 1
< 0.1%
90.34977173 1
< 0.1%

area[6]
Real number (ℝ)

HIGH CORRELATION 

Distinct384022
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2967059
Minimum-1.5756348
Maximum117.33014
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:50.051550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-1.5756348
5-th percentile2.1700065
Q14.1330981
median6.7871356
Q310.984367
95-th percentile27.974449
Maximum117.33014
Range118.90577
Interquartile range (IQR)6.8512689

Descriptive statistics

Standard deviation8.2530964
Coefficient of variation (CV)0.88774416
Kurtosis6.3420305
Mean9.2967059
Median Absolute Deviation (MAD)3.0955841
Skewness2.3208371
Sum3583880.1
Variance68.113599
MonotonicityNot monotonic
2024-01-12T13:44:50.193546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.179180908 3
 
< 0.1%
10.22197266 3
 
< 0.1%
7.401464844 3
 
< 0.1%
4.967797852 3
 
< 0.1%
6.911901855 3
 
< 0.1%
9.92364502 3
 
< 0.1%
4.470019531 3
 
< 0.1%
3.14850708 3
 
< 0.1%
3.788173828 3
 
< 0.1%
4.348803711 3
 
< 0.1%
Other values (384012) 385470
> 99.9%
ValueCountFrequency (%)
-1.575634766 1
< 0.1%
-0.5464337158 1
< 0.1%
-0.4896765137 1
< 0.1%
-0.4827404785 1
< 0.1%
-0.4823260498 1
< 0.1%
-0.4808154297 1
< 0.1%
-0.3892407227 1
< 0.1%
-0.3864587402 1
< 0.1%
-0.3785095215 1
< 0.1%
-0.375916748 1
< 0.1%
ValueCountFrequency (%)
117.3301367 1
< 0.1%
112.1752954 1
< 0.1%
99.39188843 1
< 0.1%
95.71105652 1
< 0.1%
95.07304749 1
< 0.1%
90.77695923 1
< 0.1%
86.7103717 1
< 0.1%
86.70578125 1
< 0.1%
85.57340698 1
< 0.1%
81.27600952 1
< 0.1%

area[7]
Real number (ℝ)

Distinct381097
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2363584
Minimum-1.5724854
Maximum144.93325
Zeros0
Zeros (%)0.0%
Negative179
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:50.342550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-1.5724854
5-th percentile1.5354187
Q12.4079367
median3.3380884
Q34.9725035
95-th percentile9.7603701
Maximum144.93325
Range146.50574
Interquartile range (IQR)2.5645668

Descriptive statistics

Standard deviation3.2771999
Coefficient of variation (CV)0.77358891
Kurtosis71.730822
Mean4.2363584
Median Absolute Deviation (MAD)1.1283331
Skewness5.1476005
Sum1633116.2
Variance10.740039
MonotonicityNot monotonic
2024-01-12T13:44:50.487579image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.132397461 4
 
< 0.1%
3.51220459 3
 
< 0.1%
3.848477173 3
 
< 0.1%
2.4503479 3
 
< 0.1%
2.977099609 3
 
< 0.1%
3.042197266 3
 
< 0.1%
2.980645752 3
 
< 0.1%
2.821142578 3
 
< 0.1%
1.752349854 3
 
< 0.1%
2.967480469 3
 
< 0.1%
Other values (381087) 385469
> 99.9%
ValueCountFrequency (%)
-1.572485352 1
< 0.1%
-0.8185931396 1
< 0.1%
-0.7220355225 1
< 0.1%
-0.5922241211 1
< 0.1%
-0.5820544434 1
< 0.1%
-0.5680499268 1
< 0.1%
-0.5204467773 1
< 0.1%
-0.5190112305 1
< 0.1%
-0.4679638672 1
< 0.1%
-0.443248291 1
< 0.1%
ValueCountFrequency (%)
144.9332507 1
< 0.1%
138.9778809 1
< 0.1%
120.0921155 1
< 0.1%
118.9848511 1
< 0.1%
104.5285767 1
< 0.1%
95.22080322 1
< 0.1%
92.78412842 1
< 0.1%
91.74645203 1
< 0.1%
86.54982605 1
< 0.1%
82.88978271 1
< 0.1%

area[8]
Real number (ℝ)

HIGH CORRELATION 

Distinct384327
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.857352
Minimum-1.2421948
Maximum148.48612
Zeros0
Zeros (%)0.0%
Negative17
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:50.648576image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-1.2421948
5-th percentile2.4346219
Q15.283902
median8.6222369
Q314.814062
95-th percentile33.153391
Maximum148.48612
Range149.72832
Interquartile range (IQR)9.5301596

Descriptive statistics

Standard deviation9.6335062
Coefficient of variation (CV)0.81245006
Kurtosis2.5821051
Mean11.857352
Median Absolute Deviation (MAD)4.1054114
Skewness1.6276649
Sum4571009.1
Variance92.804441
MonotonicityNot monotonic
2024-01-12T13:44:50.793548image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.983374023 3
 
< 0.1%
4.670336914 3
 
< 0.1%
6.709136963 3
 
< 0.1%
3.546582031 2
 
< 0.1%
9.440411377 2
 
< 0.1%
3.698666992 2
 
< 0.1%
13.99244141 2
 
< 0.1%
3.933770752 2
 
< 0.1%
10.56730652 2
 
< 0.1%
8.521959229 2
 
< 0.1%
Other values (384317) 385477
> 99.9%
ValueCountFrequency (%)
-1.242194824 1
< 0.1%
-0.4389428711 1
< 0.1%
-0.3881079102 1
< 0.1%
-0.35625 1
< 0.1%
-0.339465332 1
< 0.1%
-0.3325756836 1
< 0.1%
-0.3118798828 1
< 0.1%
-0.2431005859 1
< 0.1%
-0.2399414062 1
< 0.1%
-0.2209179688 1
< 0.1%
ValueCountFrequency (%)
148.486123 1
< 0.1%
113.9276703 1
< 0.1%
92.83317139 1
< 0.1%
85.30363525 1
< 0.1%
79.05072388 1
< 0.1%
78.59825928 1
< 0.1%
75.85489868 1
< 0.1%
74.18295898 1
< 0.1%
73.82571411 1
< 0.1%
72.75193848 1
< 0.1%

area[9]
Real number (ℝ)

HIGH CORRELATION 

Distinct383699
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.843535
Minimum-2.207168
Maximum96.623736
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:50.948549image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-2.207168
5-th percentile1.8978876
Q13.4622562
median5.7533383
Q39.3922916
95-th percentile23.284752
Maximum96.623736
Range98.830904
Interquartile range (IQR)5.9300354

Descriptive statistics

Standard deviation6.9405197
Coefficient of variation (CV)0.88487139
Kurtosis6.9614469
Mean7.843535
Median Absolute Deviation (MAD)2.6717578
Skewness2.3988098
Sum3023682.8
Variance48.170814
MonotonicityNot monotonic
2024-01-12T13:44:51.106548image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.25300293 3
 
< 0.1%
3.833532715 3
 
< 0.1%
2.605157471 3
 
< 0.1%
5.960540771 3
 
< 0.1%
2.691524658 3
 
< 0.1%
4.440393066 3
 
< 0.1%
2.277757568 3
 
< 0.1%
3.839447021 3
 
< 0.1%
3.452429199 3
 
< 0.1%
3.829333496 3
 
< 0.1%
Other values (383689) 385470
> 99.9%
ValueCountFrequency (%)
-2.207167969 1
< 0.1%
-0.4198376465 1
< 0.1%
-0.2881835938 1
< 0.1%
-0.2373730469 1
< 0.1%
-0.2097723389 1
< 0.1%
-0.2043041992 1
< 0.1%
-0.2032250977 1
< 0.1%
-0.1686035156 1
< 0.1%
-0.1585546875 1
< 0.1%
-0.1330993652 1
< 0.1%
ValueCountFrequency (%)
96.62373596 1
< 0.1%
89.28724976 1
< 0.1%
88.80547852 1
< 0.1%
72.62127136 1
< 0.1%
72.00088806 1
< 0.1%
70.46192139 1
< 0.1%
70.45227844 1
< 0.1%
68.9582666 1
< 0.1%
68.2444397 1
< 0.1%
64.44408203 1
< 0.1%

area[10]
Real number (ℝ)

HIGH CORRELATION 

Distinct384809
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.479499
Minimum0.27023926
Maximum96.005894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:44:51.281552image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.27023926
5-th percentile5.5611442
Q19.2624475
median14.784152
Q330.412825
95-th percentile47.963302
Maximum96.005894
Range95.735655
Interquartile range (IQR)21.150377

Descriptive statistics

Standard deviation13.938797
Coefficient of variation (CV)0.680622
Kurtosis-0.22840667
Mean20.479499
Median Absolute Deviation (MAD)7.5072791
Skewness0.88584268
Sum7894846.7
Variance194.29007
MonotonicityNot monotonic
2024-01-12T13:44:51.460549image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.82665771 3
 
< 0.1%
6.974737549 3
 
< 0.1%
12.30714111 2
 
< 0.1%
8.04086731 2
 
< 0.1%
9.763195801 2
 
< 0.1%
9.513516846 2
 
< 0.1%
20.70158447 2
 
< 0.1%
7.362470703 2
 
< 0.1%
14.78256958 2
 
< 0.1%
9.698127441 2
 
< 0.1%
Other values (384799) 385478
> 99.9%
ValueCountFrequency (%)
0.2702392578 1
< 0.1%
0.5711914062 1
< 0.1%
0.7160888672 1
< 0.1%
0.7771801758 1
< 0.1%
0.8107910156 1
< 0.1%
0.8118481445 1
< 0.1%
0.8753027344 1
< 0.1%
0.9371520996 1
< 0.1%
0.9420947266 1
< 0.1%
0.9578417969 1
< 0.1%
ValueCountFrequency (%)
96.00589417 1
< 0.1%
94.06421021 1
< 0.1%
91.67852905 1
< 0.1%
91.35036011 1
< 0.1%
90.59869019 1
< 0.1%
89.41956543 1
< 0.1%
89.17119019 1
< 0.1%
88.62298218 1
< 0.1%
88.40623657 1
< 0.1%
88.27855835 1
< 0.1%

area[11]
Real number (ℝ)

HIGH CORRELATION 

Distinct384469
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.735731
Minimum-0.85104126
Maximum95.228001
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:51.621576image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-0.85104126
5-th percentile2.8328495
Q15.8064505
median9.013587
Q315.83488
95-th percentile35.503063
Maximum95.228001
Range96.079042
Interquartile range (IQR)10.028429

Descriptive statistics

Standard deviation10.309472
Coefficient of variation (CV)0.80949196
Kurtosis2.2151781
Mean12.735731
Median Absolute Deviation (MAD)4.0484808
Skewness1.5979274
Sum4909624.3
Variance106.28521
MonotonicityNot monotonic
2024-01-12T13:44:51.764547image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.677099609 3
 
< 0.1%
7.377392578 3
 
< 0.1%
2.971740723 3
 
< 0.1%
5.650927734 3
 
< 0.1%
7.238400879 3
 
< 0.1%
7.233789062 3
 
< 0.1%
10.81833496 2
 
< 0.1%
5.534521484 2
 
< 0.1%
2.610888672 2
 
< 0.1%
4.801262207 2
 
< 0.1%
Other values (384459) 385474
> 99.9%
ValueCountFrequency (%)
-0.8510412598 1
< 0.1%
-0.3863928223 1
< 0.1%
-0.256328125 1
< 0.1%
-0.2355834961 1
< 0.1%
-0.2106884766 1
< 0.1%
-0.05486816406 1
< 0.1%
-0.04532653809 1
< 0.1%
-0.04125 1
< 0.1%
0.09104980469 1
< 0.1%
0.2109594727 1
< 0.1%
ValueCountFrequency (%)
95.2280011 1
< 0.1%
92.34315247 1
< 0.1%
83.3121582 1
< 0.1%
77.14263 1
< 0.1%
76.90403015 1
< 0.1%
74.68208008 1
< 0.1%
72.22021973 1
< 0.1%
71.34995544 1
< 0.1%
69.47265564 1
< 0.1%
69.24884338 1
< 0.1%

area[12]
Real number (ℝ)

Distinct380654
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8188599
Minimum-2.0031152
Maximum193.39015
Zeros0
Zeros (%)0.0%
Negative113
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:51.920546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-2.0031152
5-th percentile1.394978
Q12.1848901
median3.0211652
Q34.4898074
95-th percentile8.8847149
Maximum193.39015
Range195.39326
Interquartile range (IQR)2.3049173

Descriptive statistics

Standard deviation2.8652063
Coefficient of variation (CV)0.75027792
Kurtosis92.85828
Mean3.8188599
Median Absolute Deviation (MAD)1.0161697
Skewness4.9932445
Sum1472170.5
Variance8.209407
MonotonicityNot monotonic
2024-01-12T13:44:52.068549image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.444171143 4
 
< 0.1%
3.23503418 3
 
< 0.1%
1.660136719 3
 
< 0.1%
1.315188599 3
 
< 0.1%
2.63276123 3
 
< 0.1%
3.252929688 3
 
< 0.1%
1.55921875 3
 
< 0.1%
2.663818359 3
 
< 0.1%
1.845413208 3
 
< 0.1%
2.095074463 3
 
< 0.1%
Other values (380644) 385469
> 99.9%
ValueCountFrequency (%)
-2.003115234 1
< 0.1%
-1.970183105 1
< 0.1%
-1.2765625 1
< 0.1%
-0.8990319824 1
< 0.1%
-0.5905554199 1
< 0.1%
-0.5420288086 1
< 0.1%
-0.4804748535 1
< 0.1%
-0.4447583008 1
< 0.1%
-0.4411254883 1
< 0.1%
-0.4242675781 1
< 0.1%
ValueCountFrequency (%)
193.3901459 1
< 0.1%
84.43784668 1
< 0.1%
80.87830811 1
< 0.1%
77.26261658 1
< 0.1%
76.61487671 1
< 0.1%
75.94190674 1
< 0.1%
75.6510498 1
< 0.1%
74.13657227 1
< 0.1%
73.54368774 1
< 0.1%
73.32244873 1
< 0.1%

area[13]
Real number (ℝ)

HIGH CORRELATION 

Distinct384882
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.437697
Minimum1.107431
Maximum120.17597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:44:52.224549image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.107431
5-th percentile6.831275
Q111.582386
median19.268355
Q331.428853
95-th percentile47.841777
Maximum120.17597
Range119.06854
Interquartile range (IQR)19.846468

Descriptive statistics

Standard deviation13.082657
Coefficient of variation (CV)0.58306594
Kurtosis-0.33250461
Mean22.437697
Median Absolute Deviation (MAD)8.9924475
Skewness0.74285918
Sum8649732
Variance171.15591
MonotonicityNot monotonic
2024-01-12T13:44:52.377546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.02888489 3
 
< 0.1%
48.59344238 2
 
< 0.1%
21.80147705 2
 
< 0.1%
9.663457031 2
 
< 0.1%
28.35120056 2
 
< 0.1%
11.14979126 2
 
< 0.1%
7.444812012 2
 
< 0.1%
9.432836914 2
 
< 0.1%
17.69620972 2
 
< 0.1%
7.958648682 2
 
< 0.1%
Other values (384872) 385479
> 99.9%
ValueCountFrequency (%)
1.10743103 1
< 0.1%
1.389016113 1
< 0.1%
1.505531006 1
< 0.1%
1.507468262 1
< 0.1%
1.533605957 1
< 0.1%
1.558155518 1
< 0.1%
1.629433594 1
< 0.1%
1.773081055 1
< 0.1%
1.782971191 1
< 0.1%
1.788989258 1
< 0.1%
ValueCountFrequency (%)
120.1759735 1
< 0.1%
103.3779846 1
< 0.1%
101.235437 1
< 0.1%
96.17752686 1
< 0.1%
85.15785217 1
< 0.1%
83.38744629 1
< 0.1%
81.79850586 1
< 0.1%
80.68242249 1
< 0.1%
78.87852783 1
< 0.1%
78.55229736 1
< 0.1%

area[14]
Real number (ℝ)

HIGH CORRELATION 

Distinct384148
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9240536
Minimum-1.9378418
Maximum97.635488
Zeros0
Zeros (%)0.0%
Negative27
Negative (%)< 0.1%
Memory size2.9 MiB
2024-01-12T13:44:52.530549image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-1.9378418
5-th percentile2.1953555
Q14.3015195
median7.1852386
Q311.774312
95-th percentile30.811619
Maximum97.635488
Range99.57333
Interquartile range (IQR)7.4727925

Descriptive statistics

Standard deviation8.7199395
Coefficient of variation (CV)0.87866712
Kurtosis4.2274914
Mean9.9240536
Median Absolute Deviation (MAD)3.384964
Skewness2.0305488
Sum3825722.7
Variance76.037346
MonotonicityNot monotonic
2024-01-12T13:44:52.692576image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.715130615 3
 
< 0.1%
2.724588623 3
 
< 0.1%
9.178537598 3
 
< 0.1%
18.36723328 2
 
< 0.1%
4.886437988 2
 
< 0.1%
4.866540527 2
 
< 0.1%
8.868841553 2
 
< 0.1%
5.473083496 2
 
< 0.1%
1.696038818 2
 
< 0.1%
5.067962646 2
 
< 0.1%
Other values (384138) 385477
> 99.9%
ValueCountFrequency (%)
-1.937841797 1
< 0.1%
-0.5366638184 1
< 0.1%
-0.4255847168 1
< 0.1%
-0.3385314941 1
< 0.1%
-0.2674633789 1
< 0.1%
-0.2651751709 1
< 0.1%
-0.2493457031 1
< 0.1%
-0.2438586426 1
< 0.1%
-0.2437957764 1
< 0.1%
-0.2239984131 1
< 0.1%
ValueCountFrequency (%)
97.63548828 1
< 0.1%
87.74801025 1
< 0.1%
83.15788574 1
< 0.1%
75.10773315 1
< 0.1%
73.39594727 1
< 0.1%
72.19341003 1
< 0.1%
68.65711914 1
< 0.1%
68.071875 1
< 0.1%
67.88838135 1
< 0.1%
67.82406433 1
< 0.1%

area[15]
Real number (ℝ)

Distinct385082
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.85128
Minimum78.864384
Maximum410.49294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:44:52.861550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum78.864384
5-th percentile114.99091
Q1143.91556
median151.38219
Q3157.70414
95-th percentile168.46523
Maximum410.49294
Range331.62856
Interquartile range (IQR)13.788578

Descriptive statistics

Standard deviation15.418415
Coefficient of variation (CV)0.10358268
Kurtosis2.6182379
Mean148.85128
Median Absolute Deviation (MAD)6.7927893
Skewness-1.0522576
Sum57382169
Variance237.72752
MonotonicityNot monotonic
2024-01-12T13:44:53.202553image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153.2959595 3
 
< 0.1%
156.7461914 3
 
< 0.1%
148.6870361 2
 
< 0.1%
148.6198364 2
 
< 0.1%
156.6567627 2
 
< 0.1%
153.6525024 2
 
< 0.1%
137.513446 2
 
< 0.1%
159.7291565 2
 
< 0.1%
157.3373016 2
 
< 0.1%
157.2937622 2
 
< 0.1%
Other values (385072) 385478
> 99.9%
ValueCountFrequency (%)
78.86438354 1
< 0.1%
79.28551025 1
< 0.1%
79.87505371 1
< 0.1%
80.27753906 1
< 0.1%
80.32752686 1
< 0.1%
80.76226624 1
< 0.1%
80.77769775 1
< 0.1%
80.84243225 1
< 0.1%
81.07005127 1
< 0.1%
81.21083069 1
< 0.1%
ValueCountFrequency (%)
410.4929407 1
< 0.1%
336.500545 1
< 0.1%
325.992843 1
< 0.1%
286.4842468 1
< 0.1%
275.9747437 1
< 0.1%
273.0831335 1
< 0.1%
262.3523181 1
< 0.1%
261.553783 1
< 0.1%
256.4822498 1
< 0.1%
254.1334998 1
< 0.1%

area[16]
Real number (ℝ)

Distinct383625
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean583.56936
Minimum516.38672
Maximum614.88498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:44:53.361546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum516.38672
5-th percentile573.13809
Q1579.19008
median583.51267
Q3587.98295
95-th percentile594.25453
Maximum614.88498
Range98.498255
Interquartile range (IQR)8.792872

Descriptive statistics

Standard deviation6.6461752
Coefficient of variation (CV)0.011388835
Kurtosis3.4199235
Mean583.56936
Median Absolute Deviation (MAD)4.3962219
Skewness-0.37203157
Sum2.2496599 × 108
Variance44.171644
MonotonicityNot monotonic
2024-01-12T13:44:53.507550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
582.3966583 3
 
< 0.1%
581.5309387 3
 
< 0.1%
580.1500763 3
 
< 0.1%
587.9010254 3
 
< 0.1%
584.5345642 3
 
< 0.1%
580.5055389 3
 
< 0.1%
580.5547089 3
 
< 0.1%
580.9371078 3
 
< 0.1%
585.0649689 3
 
< 0.1%
584.5851868 3
 
< 0.1%
Other values (383615) 385470
> 99.9%
ValueCountFrequency (%)
516.3867249 1
< 0.1%
517.1110382 1
< 0.1%
517.1207153 1
< 0.1%
517.2366711 1
< 0.1%
517.3647491 1
< 0.1%
517.7669525 1
< 0.1%
518.1615967 1
< 0.1%
518.4816803 1
< 0.1%
518.9737762 1
< 0.1%
519.081402 1
< 0.1%
ValueCountFrequency (%)
614.8849802 1
< 0.1%
614.7800092 1
< 0.1%
614.5624872 1
< 0.1%
614.3934729 1
< 0.1%
614.3501373 1
< 0.1%
614.1983224 1
< 0.1%
614.1614575 1
< 0.1%
614.0396957 1
< 0.1%
613.7861331 1
< 0.1%
613.6744742 1
< 0.1%

area[17]
Real number (ℝ)

Distinct383556
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean583.06029
Minimum513.76008
Maximum619.09995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:44:53.671576image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum513.76008
5-th percentile571.17398
Q1578.26964
median583.40162
Q3587.87795
95-th percentile594.22072
Maximum619.09995
Range105.33987
Interquartile range (IQR)9.6083112

Descriptive statistics

Standard deviation6.9922032
Coefficient of variation (CV)0.011992247
Kurtosis0.18672998
Mean583.06029
Median Absolute Deviation (MAD)4.7738655
Skewness-0.17879378
Sum2.2476974 × 108
Variance48.890906
MonotonicityNot monotonic
2024-01-12T13:44:53.824549image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
581.2267578 3
 
< 0.1%
573.8803925 3
 
< 0.1%
588.9246124 3
 
< 0.1%
577.1004791 3
 
< 0.1%
583.773085 3
 
< 0.1%
586.6936096 3
 
< 0.1%
584.5795074 3
 
< 0.1%
579.2307037 3
 
< 0.1%
587.5937973 3
 
< 0.1%
586.8484772 3
 
< 0.1%
Other values (383546) 385470
> 99.9%
ValueCountFrequency (%)
513.760083 1
< 0.1%
514.7442322 1
< 0.1%
515.9600433 1
< 0.1%
520.4006024 1
< 0.1%
520.6585785 1
< 0.1%
521.0334869 1
< 0.1%
521.7086371 1
< 0.1%
521.9649414 1
< 0.1%
522.1683868 1
< 0.1%
522.3938965 1
< 0.1%
ValueCountFrequency (%)
619.0999518 1
< 0.1%
612.4163263 1
< 0.1%
609.0467331 1
< 0.1%
608.5933273 1
< 0.1%
608.0197845 1
< 0.1%
608.0058075 1
< 0.1%
607.9620801 1
< 0.1%
607.8786987 1
< 0.1%
607.6796173 1
< 0.1%
607.3582077 1
< 0.1%

x
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean397.72374
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:44:53.970547image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile215
Q1285
median400
Q3500
95-th percentile585
Maximum600
Range400
Interquartile range (IQR)215

Descriptive statistics

Standard deviation120.5931
Coefficient of variation (CV)0.30320822
Kurtosis-1.197003
Mean397.72374
Median Absolute Deviation (MAD)110
Skewness0.034705739
Sum1.533225 × 108
Variance14542.697
MonotonicityIncreasing
2024-01-12T13:44:54.124549image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235 6600
 
1.7%
580 6300
 
1.6%
565 6300
 
1.6%
410 6100
 
1.6%
405 6100
 
1.6%
200 5900
 
1.5%
590 5900
 
1.5%
225 5900
 
1.5%
355 5800
 
1.5%
585 5800
 
1.5%
Other values (71) 324800
84.3%
ValueCountFrequency (%)
200 5900
1.5%
205 5300
1.4%
210 5600
1.5%
215 5600
1.5%
220 4800
1.2%
225 5900
1.5%
230 5600
1.5%
235 6600
1.7%
240 5800
1.5%
245 5800
1.5%
ValueCountFrequency (%)
600 5300
1.4%
595 5500
1.4%
590 5900
1.5%
585 5800
1.5%
580 6300
1.6%
575 5100
1.3%
570 5500
1.4%
565 6300
1.6%
560 5500
1.4%
555 5800
1.5%

y
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404.10636
Minimum200
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-01-12T13:44:54.309575image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile225
Q1310
median405
Q3500
95-th percentile580
Maximum600
Range400
Interquartile range (IQR)190

Descriptive statistics

Standard deviation113.65223
Coefficient of variation (CV)0.28124336
Kurtosis-1.1513592
Mean404.10636
Median Absolute Deviation (MAD)95
Skewness-0.027233727
Sum1.55783 × 108
Variance12916.829
MonotonicityNot monotonic
2024-01-12T13:44:54.470546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390 6100
 
1.6%
485 5900
 
1.5%
495 5900
 
1.5%
540 5700
 
1.5%
400 5600
 
1.5%
395 5600
 
1.5%
380 5500
 
1.4%
375 5500
 
1.4%
525 5400
 
1.4%
520 5400
 
1.4%
Other values (71) 328900
85.3%
ValueCountFrequency (%)
200 3800
1.0%
205 3400
0.9%
210 3900
1.0%
215 3400
0.9%
220 3900
1.0%
225 4100
1.1%
230 4600
1.2%
235 4800
1.2%
240 4200
1.1%
245 4000
1.0%
ValueCountFrequency (%)
600 4700
1.2%
595 5300
1.4%
590 4700
1.2%
585 4400
1.1%
580 4700
1.2%
575 4500
1.2%
570 4000
1.0%
565 4300
1.1%
560 3900
1.0%
555 4000
1.0%

Interactions

2024-01-12T13:44:41.538577image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:24.820158image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:29.334129image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:33.347127image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:37.600132image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:41.683399image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:45.442425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:49.616399image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:53.395425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:58.142396image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:02.066399image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:06.293560image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:10.421557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:14.331588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:18.549588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:22.482560image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:26.147587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:29.894557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:33.564588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:37.548090image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:41.734546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:25.033128image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:29.538130image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:33.530158image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:37.784161image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:41.884396image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:45.652397image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:49.809426image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:53.604427image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:58.378395image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:02.301394image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:06.553558image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:10.625588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:14.544559image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:18.727564image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:22.681587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:26.338559image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:30.088588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:33.750587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:37.742122image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:41.931576image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:25.230160image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:29.750171image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:33.714130image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:37.975127image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:42.090402image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:45.865393image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:50.010396image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:53.794399image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:58.573399image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:02.508425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:06.741562image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:10.820557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:14.739555image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:18.908566image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:22.863564image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:26.528557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:30.288588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:33.946587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:37.941378image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:42.126577image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:25.426134image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:29.948158image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:33.903180image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:38.169158image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:42.271397image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:46.066426image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:50.191402image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:53.988394image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:58.756399image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:02.713403image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:06.959589image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:11.020588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:14.933588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:19.113560image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:23.071556image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:26.716597image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:30.477560image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:34.158587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:38.148390image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:42.305575image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:25.648129image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:30.156126image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:34.100130image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:38.348128image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:42.444426image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:46.247425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:50.373425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:54.379400image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:58.927398image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:02.894394image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:07.155587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:11.190563image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:15.133589image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:19.297587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:23.247561image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:26.892587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:30.644561image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:34.329556image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:38.315378image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:42.498574image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:25.886128image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:30.336131image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:34.318125image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:38.544161image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:42.616398image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:46.434425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:50.564435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:54.621394image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:59.125400image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:03.084435image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:07.330588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:11.401557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:15.331587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:19.487597image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:23.429557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:27.090587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:30.821558image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:34.500561image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:38.492352image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:42.704576image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
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2024-01-12T13:43:38.955396image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:43.020399image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
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2024-01-12T13:43:52.828425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:57.268393image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:01.437401image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:05.549560image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:09.798588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:13.711557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:17.848557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:21.703588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:25.583588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:29.332590image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:33.031587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:36.938875image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:40.927551image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:44.932559image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:28.885150image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:32.916132image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:37.191130image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:41.092394image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:45.057426image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:49.229426image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:53.022403image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:57.515397image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:01.625425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:05.754557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:09.992588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:13.899588image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:18.122561image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:21.887562image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:25.754587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:29.508557image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:33.195558image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:37.158098image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:41.133550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:45.130582image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:29.122130image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:33.143135image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:37.406133image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:41.486397image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:45.249425image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:49.423399image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:53.207426image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:43:57.800397image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:01.822424image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:05.950562image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:10.217587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:14.116556image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:18.353587image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:22.289556image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:25.938561image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:29.698592image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:33.379558image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:37.371093image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
2024-01-12T13:44:41.338546image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Correlations

2024-01-12T13:44:54.630550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
area[0]area[10]area[11]area[12]area[13]area[14]area[15]area[16]area[17]area[1]area[2]area[3]area[4]area[5]area[6]area[7]area[8]area[9]xy
area[0]1.0000.0010.0020.0120.0030.0060.0050.0090.0060.0160.0260.0110.0160.0050.0140.0320.0080.008-0.0000.002
area[10]0.0011.0000.3940.007-0.093-0.1600.035-0.033-0.010-0.502-0.412-0.604-0.4120.007-0.0570.0040.5000.664-0.472-0.681
area[11]0.0020.3941.0000.0180.5050.5860.0810.0210.0430.073-0.210-0.387-0.585-0.516-0.5180.002-0.2910.0970.382-0.744
area[12]0.0120.0070.0181.0000.0070.0230.0170.0110.0080.0110.0130.0070.0060.0030.0070.0130.0200.0350.0010.000
area[13]0.003-0.0930.5050.0071.0000.6910.1290.0440.0690.6010.1970.314-0.234-0.252-0.471-0.001-0.583-0.3400.737-0.131
area[14]0.006-0.1600.5860.0230.6911.0000.1170.0450.0610.5020.1090.050-0.380-0.528-0.5290.002-0.594-0.2980.740-0.314
area[15]0.0050.0350.0810.0170.1290.1171.0000.0290.0860.1310.0910.1060.0530.0380.0290.0070.0260.0330.0680.015
area[16]0.009-0.0330.0210.0110.0440.0450.0291.0000.1110.0690.0450.0500.015-0.004-0.0150.016-0.047-0.0260.0570.005
area[17]0.006-0.0100.0430.0080.0690.0610.0860.1111.0000.0500.0290.026-0.013-0.027-0.0290.005-0.024-0.0070.0550.000
area[1]0.016-0.5020.0730.0110.6010.5020.1310.0690.0501.0000.4660.561-0.004-0.287-0.3690.012-0.625-0.4680.7610.253
area[2]0.026-0.412-0.2100.0130.1970.1090.0910.0450.0290.4661.0000.5350.205-0.041-0.1030.025-0.335-0.2990.3820.403
area[3]0.011-0.604-0.3870.0070.3140.0500.1060.0500.0260.5610.5351.0000.5040.2720.0610.011-0.399-0.5030.4230.745
area[4]0.016-0.412-0.5850.006-0.234-0.3800.0530.015-0.013-0.0040.2050.5041.0000.6400.5430.0160.111-0.266-0.2120.756
area[5]0.0050.007-0.5160.003-0.252-0.5280.038-0.004-0.027-0.287-0.0410.2720.6401.0000.6970.0080.4770.008-0.5300.566
area[6]0.014-0.057-0.5180.007-0.471-0.5290.029-0.015-0.029-0.369-0.1030.0610.5430.6971.0000.0160.5150.061-0.5980.466
area[7]0.0320.0040.0020.013-0.0010.0020.0070.0160.0050.0120.0250.0110.0160.0080.0161.0000.0080.009-0.0030.002
area[8]0.0080.500-0.2910.020-0.583-0.5940.026-0.047-0.024-0.625-0.335-0.3990.1110.4770.5150.0081.0000.558-0.854-0.061
area[9]0.0080.6640.0970.035-0.340-0.2980.033-0.026-0.007-0.468-0.299-0.503-0.2660.0080.0610.0090.5581.000-0.543-0.453
x-0.000-0.4720.3820.0010.7370.7400.0680.0570.0550.7610.3820.423-0.212-0.530-0.598-0.003-0.854-0.5431.0000.003
y0.002-0.681-0.7440.000-0.131-0.3140.0150.0050.0000.2530.4030.7450.7560.5660.4660.002-0.061-0.4530.0031.000

Missing values

2024-01-12T13:44:45.357574image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-12T13:44:46.118550image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

area[0]area[1]area[2]area[3]area[4]area[5]area[6]area[7]area[8]area[9]area[10]area[11]area[12]area[13]area[14]area[15]area[16]area[17]xy
02.8479324.5387783.1323283.6219737.2152595.5207912.0795971.45694113.37425848.42256723.1528197.6113762.2889384.1919094.884680146.036298583.899899591.852768200.0200.0
15.7927783.7204353.2674613.4446786.6664036.8216675.4815204.56110914.33465747.55985720.5743218.02553611.10723116.6205828.758870171.081604580.042799586.569646200.0200.0
22.3563903.4904902.9291501.2237001.3974937.2602226.0737773.33012711.90132146.12118919.4569464.5173162.50467111.7922585.340140137.502422580.407491574.091695200.0200.0
32.1890056.7862001.5443702.9856815.1841505.4805279.3931852.25026412.23157048.82190620.8978975.9273901.3503784.49674115.789638135.724871579.882635584.099483200.0200.0
43.9970022.4494564.2110474.3777081.4235949.2228474.2185942.84281311.94975949.84617121.7956387.3860773.0020419.1271363.366542147.372754590.156125584.316142200.0200.0
59.9714922.9577842.6245906.9829111.4822755.2810242.2912202.96527512.65292045.46407620.2816034.9304282.2641585.2097581.966763140.332925583.452487587.336729200.0200.0
63.1994203.4670534.0502292.8823947.0005778.4986455.9428751.63586717.29861149.53738121.9981235.6220181.1101784.7574581.965756147.980034577.128015578.069411200.0200.0
72.3783744.3146515.0934642.7710942.28297510.8807075.6749159.87635313.85653446.85283923.0591587.4469692.9992315.4944733.421546139.425211581.193419592.203421200.0200.0
81.97672910.3580222.6116552.4897511.8683803.8198651.7969542.41177511.69768150.43676922.9718692.7906015.4383886.0302394.504267141.198060578.532948591.328584200.0200.0
98.2954390.9167212.1474493.44722914.5330056.4647785.1648864.82935011.49260642.92293120.5386893.9724242.8551723.4686321.554102133.867425578.368988565.929508200.0200.0
area[0]area[1]area[2]area[3]area[4]area[5]area[6]area[7]area[8]area[9]area[10]area[11]area[12]area[13]area[14]area[15]area[16]area[17]xy
3854903.30358523.42578625.78188229.9384319.0220646.3501099.6557253.7027642.5271003.2515064.8547291.9711161.56075712.7301126.730491160.669709584.225311582.939546600.0595.0
3854914.44876024.63608333.37784934.8557718.8461437.4118663.3168901.2911312.4583952.2394715.1723341.1390292.08836911.2718086.924344158.702544586.017749587.180681600.0595.0
3854923.14756126.27130431.47920835.1908338.9973109.9238133.9548581.6257143.7403002.1961741.8430665.5284882.31456812.32653712.103185150.655151587.558690588.202032600.0595.0
3854933.22966130.41185933.48727433.5577097.1761609.5786452.94088117.8341042.0804612.6299381.1357131.7031624.50389813.3419046.391071217.010917577.698245591.494444600.0595.0
3854942.75469825.10959831.56450635.5693028.0490786.0045303.31158712.1688063.13223018.5903673.9508156.0448705.12192313.0960357.766993146.692374593.632436572.837117600.0595.0
38549514.53739024.78140328.62158232.0345047.3291717.1751163.7761171.9693923.6967601.7129361.7152071.9902222.15970710.6507624.551567153.707394580.419676594.565758600.0595.0
3854962.01171427.09089428.43558232.3500158.1778595.1113703.3771632.79104011.5688336.6848958.12340111.7582687.56594712.8271954.505713162.981252589.105579588.799525600.0595.0
3854973.19948124.98034730.50035133.4569618.7213127.3108973.6056816.0786504.2673432.3311599.3813994.8624413.03996513.98132011.049597151.267330582.079851589.163170600.0595.0
3854986.36707533.16307327.11007631.0082015.56993115.7770698.9026067.4703916.2468515.8469738.4630499.01770616.55528111.8460037.560762161.842151589.201047587.916994600.0595.0
3854993.24167831.29471727.38700030.5916209.24036810.3171903.8775991.7856993.9729032.1897973.00037818.5479252.77580315.0695893.515742151.665894583.723657582.576141600.0595.0